Internal Data Science Conference
An internal data science conference is a great way to meet others across your organization and grow your community.
It can help keep your team current on new technology, increase collaboration, give people a view into the work being done in other parts of the organization, and celebrate that work.
Items to consider:
Examples:
AstraZeneca:
AstraZeneca spoke about their internal R Conference, #AZRC2022, in a blog post and meetup. This was a fully virtual, half-day conference with Max Kuhn as a keynote speaker, more than 30 speakers, and close to 100 poster authors. They ran three parallel tracks: governance, machine learning, and reproducibility.
World Bank
The World Bank hosted a Shiny Day (actually 2-days!) to demonstrate how Shiny can be used in the context of bank projects. From their event overview site, this included a series of lightning talks, a keynote by Carson Sievert from Posit’s Shiny team, and interactive workshops.
The site linked above includes more detail, but the general agenda for this was:
Day 1:
- 9:30 - 11am: Beginners workshop - “How to build a Shiny app”
- 11:15 - 12:30: 7 different lightning talks (6-minutes each)
- 12:45 - 2:15: Intermediate workshop - “How to customize reactions”
Day 2:
- 9:30 - 11am: Advanced workshop - “How to customize appearance”
- 11:15 - 12:30: Posit Keynote
- 12:45 - 2:15: Advanced workshop - “Shiny in production: maintenance and speed”